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Paper Citation Record · LEDGER

Are Decoder-Only Large Language Models the Silver Bullet for Code Search?

As of 5 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 3 inbound Pith citation observations for arXiv:2410.22240.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2410.22240 v3

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T18:39:21.915976Z

measured 82 of 82 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:11:57.323146Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-04T00:59:18.981786Z

Reference resolution

79 of 79 outbound references displayed

  • verified exact30
  • verified fuzzy45
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ee91ec4-952a-4b96-a8d1-2e3bc1b495da · outbound

This paper cites Accelerating onboarding.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Accelerating onboarding

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.611018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:dae1e47a2908dbc9d52d4dbce6d4a0b7cfc9d888b73fcd20cfee927f20633ba8

Observation bde1adf2-9232-453b-bf3d-e5a2fc61f79d · outbound

This paper cites Chatgpt: Optimizing language models for dialogue.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Chatgpt: Optimizing language models for dialogue

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.645226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:38a067cf98cc2078608f3c99982fe8461727fd66a173a76786bd77c2416ab35b

Observation d0fabf65-2ef6-4088-9133-89335f05f672 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.152575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:a5599cf2fd78c1af141461cd5928c70f75aa8fbc6b32c8b323568054635fd029

Observation 6f78489a-01e9-4441-a170-ac16d4af2ff3 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.221709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:04e43abec780bc94f5675d69510971026cfc4272828ff8c50d2fa9e6e793ab63

Observation 1d0ff229-1295-479a-b328-adac48fd50ab · outbound

This paper cites Program Synthesis with Large Language Models.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Program Synthesis with Large Language Models

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.246279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:2deda7d00c225f1b19cf896586479985e0e445ab66c349a4c2b33f4299ec531a

Observation 31d8ddae-6f32-4b76-a276-088b70b558cb · outbound

This paper cites Cocosoda: Effective contrastive learning for code search.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Cocosoda: Effective contrastive learning for code search

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.620925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:c65b2d79ab7074939bf570689d3d93b8ae5fa63a68dc9e2ec474fa6ae33c60c6

Observation 57ed8913-bc05-49a2-ae2e-aa5c0c6a1762 · outbound

This paper cites GraphCodeBERT: Pre-training Code Representations with Data Flow.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.201445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:59f02828c6d852ef9de12bd437dc6ec29061874afbd8f984efd45aab41cda2e5

Observation 35e8236a-ad10-4d9e-a374-1b9ff7a6b9a3 · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.236949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:d897789843bdc189fed8b400921fdf45f305fb0027594c5bd3c840a74db4b8f2

Observation 89cba0c2-0399-45a9-8f53-4158d9c0d0a9 · outbound

This paper cites UniXcoder: Unified Cross-Modal Pre-training for Code Representation.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? UniXcoder: Unified Cross-Modal Pre-training for Code Representation

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.148184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:578b411dcfbaa6df11a11dd8eb0d0a06665732fd54278f032a5b0af985df594f

Observation ba88aaa3-ae6b-48b1-a351-57fc793f6149 · outbound

This paper cites Unified Pre-training for Program Understanding and Generation.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Unified Pre-training for Program Understanding and Generation

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T18:43:19.182758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:d65129a0bccc2c05ac1b3d80099c6b72140c4229509faac7630f076fff2b38c4

Observation 518d13bc-1f45-4854-aa5d-aae0c6eade35 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Evaluating Large Language Models Trained on Code

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.272990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:180280e2b1bd01715836bc231dc30ace8e84f209963fc9e81b666d1600022003

Observation 09df567c-ef39-4983-8a8c-3a77c6a32b3b · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.232273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:39799275a22899912a76ea397ca1a6d6aa737311494904f25b5be340251e8b06

Observation 9bd672ba-b2cd-46d9-bb69-b3e9d2d6b03e · outbound

This paper cites Towards an Understanding of Large Language Models in Software Engineering Tasks.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Towards an Understanding of Large Language Models in Software Engineering Tasks

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T18:43:19.168296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:76f6f72b87894007007439541cb186f67c43b7eff3ac81c2b6686846aa87f98d

Observation 21879bb5-1e9b-4382-9114-a3b7d8c6de5e · outbound

This paper cites A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T18:43:19.253516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:ecd4850ccbe2c55224e1324b5b01eb40a4f6913b9841bc569516336bdaa946ee

Observation 23cd71db-fdeb-4365-8294-1b9ab81dd526 · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.164685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:fd346dabdafa862bbca58ed7ef02e10fc6c8430571eb05f53c778b74d1e0164c

Observation f7ae2cab-c271-4fd7-b806-585a92117154 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Code Llama: Open Foundation Models for Code

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:18.895692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:b2a8706ccbe049f5b39a13512956e28365c9f99977e8d999021a86563602fbae

Observation de3a312a-ef69-436f-a363-f19348e635d6 · outbound

This paper cites Decoderllms-codesearch.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Decoderllms-codesearch

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.651883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:23009e966853fda2c920a432ebab6b15f9bdd44cb34917a6f3bd076ac357d07f

Observation f84ba686-46ef-4c98-9a76-7359a55fb2c2 · outbound

This paper cites Sniff: A search engine for java using free-form queries.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Sniff: A search engine for java using free-form queries

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.656262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:df2799c8811078ec262092b63b407828db17a9f55d56432282e0dc7d58b3c700

Observation 7d376c3d-fce8-4ad5-90cf-eacf26b405c9 · outbound

This paper cites Deep code search.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Deep code search

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.678963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:d1a793f450e7b015c90cdfc630d05e9de175a37003943a7e86abbeef586fc8e7

Observation 75e6df7e-5f7a-494e-a757-f42387236e31 · outbound

This paper cites A systematic literature review on the use of deep learning in software engineering research.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? A systematic literature review on the use of deep learning in software engineering research

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.617027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:0383f8c822ccb3b02c2b4a8019cbeceaddbffc85c4b9362cbc90b18f67a2f928

Observation ebf118a3-e3c2-4388-b6e9-7bb98a0ca2d3 · outbound

This paper cites Leveraging code generation to improve code retrieval and summarization via dual learning.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Leveraging code generation to improve code retrieval and summarization via dual learning

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.603596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:2b8e6477330be318df1e98fc0ee9ec2f99787e9cebddd908f7177c831360baeb

Observation 867ec485-62eb-419f-a88f-31fe03b01031 · outbound

This paper cites Improving code search with co-attentive representation learning.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Improving code search with co-attentive representation learning

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.599820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:d76e6cbd7bf551791a811617aad44c8499eefa4d88380551c65dc84343f27ea1

Observation 3e96b698-94e1-453b-91e5-2ad2cd80b3da · outbound

This paper cites Learning code-query interaction for enhancing code searches.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Learning code-query interaction for enhancing code searches

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.801656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:48c0a2aad32028c8a17af46dac930b8099d442508a36034cfd1fd9c2e9dc3996

Observation c594a721-34e5-48a7-8c60-713874b6ca4e · outbound

This paper cites Adaptive deep code search.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Adaptive deep code search

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.798042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:d866f5af5b92f3aeea0533d32a6249f7bcb132e70c2396385a70ae7163121d95

Observation b3f74de6-db1d-4ae0-9742-e20101355f6d · outbound

This paper cites Multi- modal attention network learning for semantic source code retrieval.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Multi- modal attention network learning for semantic source code retrieval

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.792034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:e9275101e266c4b02406e0506c9e3da09df03fba248907dbfa1ae70d88646f32

Observation 61f00569-3d88-4147-86b8-dfcca2716db9 · outbound

This paper cites Deep graph matching and searching for semantic code retrieval.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Deep graph matching and searching for semantic code retrieval

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.788451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:d0c061e8e60f4bdbc861f6d2c9cfcb279f4726dade5f19f87c8fa29a78dff1a5

Observation 018ea0a0-7d6b-4558-9ae7-baa42f7e07f9 · outbound

This paper cites Is a single model enough? mucos: A multi-model ensemble learning approach for semantic code search.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Is a single model enough? mucos: A multi-model ensemble learning approach for semantic code search

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.782299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:d2f62bd7723cdf51c10331c3a08ba6b0044c1e7606b6c7897dbadf314a27043d

Observation d4db0be5-3dca-494c-a017-eabd7cc010cd · outbound

This paper cites Ocor: An overlapping-aware code retriever.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Ocor: An overlapping-aware code retriever

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.778776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:2020894e4f1425b27118e696a5ef3830ea008389dc2cdcecd37182a3bb5c1cfa

Observation 54a78f29-7203-42fe-b845-a0a5035778b8 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.205568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:dd55a4013b4183e2142cbe35b51f486afcec7d036dcad4f7c0ca8fa2e99ba742

Observation 5b059cc8-2015-4bf7-bf03-4e16e3e44d48 · outbound

This paper cites CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.196438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:0de31f8ace49f64685a180eeae95c4c68da86ce4ac382f96f7f0423ab86ec7be

Observation 6846ec3c-86ff-4d35-ac7a-685eebf42deb · outbound

This paper cites Self-supervised contrastive learning for code retrieval and summarization via semantic-preserving transforma- tions.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Self-supervised contrastive learning for code retrieval and summarization via semantic-preserving transforma- tions

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.767551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:d42455ca36a69861f0f9329091f4bac2342454b322d8c00bf3023fa69cd210b1

Observation 57e353c2-ac7a-4164-a2fd-004384efccac · outbound

This paper cites On the importance of building high-quality training datasets for neural code search.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? On the importance of building high-quality training datasets for neural code search

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.763425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:cf7d0cc3afddd568e45071450638cb8a303a1d942555dbb010df975539332cb8

Observation 32e718bb-7090-432f-8d51-b9f21bad21ef · outbound

This paper cites CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.211209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:4662507c922ee2faef9e6531318bf2ce9c23e408135e349857ac723ab3136166

Observation 365d57ce-9230-4ae1-8502-d0c75e755ece · outbound

This paper cites In 45th IEEE/ACM International Conference on Software Engineering, ICSE 2023, Melbourne, Australia, May 14-20.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? In 45th IEEE/ACM International Conference on Software Engineering, ICSE 2023, Melbourne, Australia, May 14-20

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T18:43:18.904768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:2921b8d5219da346832b7c2e756d842991651d118aaa7cbeda5cd11901a1ad7e

Observation 5826c0b5-f8be-4194-93ee-350ea7f615d2 · outbound

This paper cites Fine-tuning llama for multi-stage text retrieval.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Fine-tuning llama for multi-stage text retrieval

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.759765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:1be3721cea12dcc1c6dfe858ef7b400828c24ec983a9ffcbe76d8e31dd7f0517

Observation 790af6d1-a474-4ac0-a169-137b79e71432 · outbound

This paper cites [Online].

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? [Online]

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.755109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:4a605b159082b6b2d3be7ed21997a403c55769f61593fe0d2273ccf8dffd8436

Observation c103aa5f-1e81-425e-aba9-0795149e317e · outbound

This paper cites Improving Text Embeddings with Large Language Models.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Improving Text Embeddings with Large Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:43:19.227770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:80acf89444cd0a39f262407473854698638a8e11311c35aeaecb60adce298f69

Observation 94e9643c-0787-4f63-946a-5978b19a6667 · outbound

This paper cites Repetition Improves Language Model Embeddings.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Repetition Improves Language Model Embeddings

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:43:19.277050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:aa830fd2774be964aec3285ccbd38351bfb3b3a45dfc5bfcf79b31316881382c

Observation a3202410-92f2-4e2e-af6a-1c9c5f31677c · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:43:19.173781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:e073cfe6ad82dd7eeb4905785b6453244b318c3578d5f0747535fada79a3176c

Observation 9aa23d9b-588e-4f87-b926-d84ea4c2d68f · outbound

This paper cites Cosqa+: En- hancing code search dataset with matching code.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Cosqa+: En- hancing code search dataset with matching code

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:43:19.249900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:ce30a5a1a9a4410357e1d18f3aa2f8529435ab31094352b6aa885ca59aa518d0

Observation 3728ce38-87a5-4231-a98b-bf84ee9402b5 · outbound

This paper cites CoSQA: 20,000+ Web Queries for Code Search and Question Answering.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? CoSQA: 20,000+ Web Queries for Code Search and Question Answering

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:43:19.214942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:e779a535de8164c886aafab6da37a65a2f94e177e275b001c1bdce3f6013d5f5

Observation 1e2d8f94-931c-40e8-a827-ba000940a7d6 · outbound

This paper cites Staqc: A systematically mined question-code dataset from stack overflow.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Staqc: A systematically mined question-code dataset from stack overflow

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.748868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:cc26cd03c91ebc33bcdef3088feb90c635bc9188e30141ce4f732ecc976c309f

Observation 786cfb78-b028-42ce-980b-8a4d7be528f9 · outbound

This paper cites The trec-8 question answering track report.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? The trec-8 question answering track report

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.745540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:601b441f66f011f721cb84f2eb285266355bcb9eb80f3906c99a8fd1103c6087

Observation 697031fb-0ef1-4122-b31e-b45eb9699cf0 · outbound

This paper cites Information retrieval: recent advances and beyond.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Information retrieval: recent advances and beyond

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.740855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:80561b81d31a2518aee55de41799f1923db4c78b3e4bc57508bf11c705792f15

Observation ebf4ab21-9116-4b93-9a6e-e4ce4fac7a62 · outbound

This paper cites Meta-llama-3-8b-instruct.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Meta-llama-3-8b-instruct

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.737561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:851e89131d8dfa26945df27cfb400d6a44401a7bb4b24a333158b5af72e52edf

Observation 06aa7163-cdb5-40c3-b78e-b92b6a7e2736 · outbound

This paper cites (2024) Mistral-7b-instruct-v0.2.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? (2024) Mistral-7b-instruct-v0.2

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.734213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:849fb2a7780f5572d6a08f27da42f8228809d0b4c48a67e5ced24845bb4f7983

Observation 91e0b990-5c61-41fc-8f60-75eee333a918 · outbound

This paper cites Deepseek-llm-7b-chat.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Deepseek-llm-7b-chat

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.729087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:4510ad8e6e02b893357f18f44fd6caab439d49d5ceef2c48fe70e73fbb5e6ffd

Observation 001e28b3-e490-4851-a8c5-113c9af57c63 · outbound

This paper cites Gemma-7b-it.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Gemma-7b-it

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.722920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:fd6c40db1811e8d95fbd022ba909cddbe015fa165d1d3edd84ae8ef206b80049

Observation 57870402-9717-4650-9de8-99f4699915c5 · outbound

This paper cites Llama-2-7b-hf.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Llama-2-7b-hf

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.719740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:6d33e53e1aed93bb8502684881c77fc208b69141b628ad8b4106664d55eb6ed2

Observation 951ef545-fb9d-4b79-925b-ce0c36a95262 · outbound

This paper cites Qwen2.5-coder-7b-instruct.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Qwen2.5-coder-7b-instruct

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.711628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:165300beabdfef867c3aff631e0156d0c896303f11ad03ef0faa0612d21172f8

Observation 3eec61a1-349a-429b-abf4-e1f1a526186c · outbound

This paper cites Starcoder2-7b.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Starcoder2-7b

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.706715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:a4632d03ed4521d1138f7ce3214974c4b13993a9c7466dda7ce0dd7301502bd2

Observation 77184c30-ea43-4cf8-8e45-be8e03b7ef50 · outbound

This paper cites Mistral-7b-instruct-v0.2-code-ft-gguf.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Mistral-7b-instruct-v0.2-code-ft-gguf

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.703434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:f6cd4980db9a3e3cac61b8a010d6666a96d2daadd271d8d3db0c536b47f27250

Observation 8807c291-96ec-49c4-8356-23c44a69849b · outbound

This paper cites Deepseek-coder-6.7b-instruct.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Deepseek-coder-6.7b-instruct

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.697996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:dba67450ba7f081f9cec79b0e2849d3325d572d2117db10fd71f4805bb192371

Observation a0e9ca9d-e6ad-4645-83e5-ec1cf24cef55 · outbound

This paper cites Codegemma-7b-it.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Codegemma-7b-it

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.775180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:0c7721cf942df796249ea6a63bfa619683c33d1d65e2129055badbacecdca46f

Observation a5582a27-02a2-4228-88e2-06b7112c6266 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Code Llama: Open Foundation Models for Code

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.155979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:3edf5b73fc980bab4c1b8985d02d8899525d3a31cad0dbdadb572bd56a61ff1e

Observation 0b73b0b2-01f9-486d-b3e2-b85b91ae5d6f · outbound

This paper cites Codebert-base.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Codebert-base

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.641715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:b0b248af32d559f9c1420ef0a29b3731ef2d021f97df5179239c1510bf0d9956

Observation 8a523732-9d54-46af-afac-e8e7b5129bfe · outbound

This paper cites Unixcoder-base.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Unixcoder-base

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.693014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:1935846cf3efb385930de60355269795d3051a6a87c10827ba1ed1a7350126a0

Observation cbd74b73-1939-48b9-a5c6-668eb190dc6b · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.186728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:fafa5c59696647bae6156b2fce6c61c32be299337be6df7c3f3ae8b2cde50a08

Observation 5a44c59f-956a-487a-81bf-fe95e7175457 · outbound

This paper cites Mistral 7B.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Mistral 7B

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.264493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:db0931a725491a2cde9e5185bfc0365557514edde6014c778230b01265f19a7a

Observation 1ca152d7-ff0a-44e7-b5a4-1627319f6c1c · outbound

This paper cites [Online].

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? [Online]

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.689837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:62d6e0ddaf5b8c7a42fe569e0eedd627f0ae77481084eff3b1ff7540e4af45e8

Observation 9a072f6f-ac52-4762-b95b-d7a268eb7a61 · outbound

This paper cites Code-290k-sharegpt.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Code-290k-sharegpt

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.664679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:e532352168f12d10475e49974db3df76c5d00248cfaca81c1b8b7bd2a45a1f9c

Observation 15a2ee74-2681-435a-b61c-e08c163614e0 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Gemma: Open Models Based on Gemini Research and Technology

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.190337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:a076febcdbed2efb5c3207056aa78ca44612f15810676364560033fb2cf46de3

Observation 6657f1ad-0abc-4aba-aca7-67eccd5c6c9f · outbound

This paper cites CodeGemma: Open Code Models Based on Gemma.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? CodeGemma: Open Code Models Based on Gemma

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:43:18.900931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:eabcdbb7203a58b8511d02e43659a668971b46cf378d28c043fec0e4d12f617b

Observation 60f680a9-8ccf-45ce-9c91-f68cedd41066 · outbound

This paper cites The Llama 3 Herd of Models.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? The Llama 3 Herd of Models

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.256939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:a04e45c393059346f83f2d5b47463e50072dfca62185d9a9a6b5fb9c247e2ac3

Observation 1b44e451-fc98-4430-9d59-bbb41a33dcda · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? StarCoder 2 and The Stack v2: The Next Generation

Reference 66

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.242393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:7361b050810862c005e0b7423e835d45b4f6ba28f823038c0446f883859b55d8

Observation be538f0a-8cd0-4b53-8d06-122fca5d2606 · outbound

This paper cites Qwen2.5-Coder Technical Report.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Qwen2.5-Coder Technical Report

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.280276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:c2c77649e2cf4773fec4e04299b3a3d2d22c8c041b956a832bb0816ef39dc049

Observation 29da5da2-8676-49a9-87fe-d7d00f5dcee3 · outbound

This paper cites Survey of code search based on deep learning.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Survey of code search based on deep learning

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.682608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:4b2e7f1b1650bfee5d08e5538f5991990b08d697cd8b9e85c0970a4149d03630

Observation 99b424a8-d926-4807-b5b7-d45fd0365d68 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.159440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:2e5d09d0739ba3ab575c4a88e0cb078bdef22b81ff56acf387eeacab33d0feee

Observation 83c81139-89cd-4687-bc49-6494fb0fa441 · outbound

This paper cites CoDesc: A Large Code-Description Parallel Dataset.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? CoDesc: A Large Code-Description Parallel Dataset

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:43:19.177426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:db475c6cf7bac2cd5c0f5f3d90bc588de790498e2cff1d7187dbecf8d2a2a4ea

Observation 26e4a52b-d7bf-42ab-b2b5-8277c5698fdd · outbound

This paper cites MTEB Leaderboard.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? MTEB Leaderboard

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.633196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:f4b30096292762bbadd506d17342723e0eecbc3fb036c84dfbb7a6aca89639a6

Observation aa34a340-dc1e-4014-8235-b55f661150ad · outbound

This paper cites SimCSE: Simple Contrastive Learning of Sentence Embeddings.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? SimCSE: Simple Contrastive Learning of Sentence Embeddings

Reference 72

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.260910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:995a3a7a94994179dd8a80e82c984be8b6c3ab07fc1c9fe02df0eab86250688e

Observation ec06c994-7d99-4a1d-b2b9-332cf20ea2e3 · outbound

This paper cites Sheared-llama-1.3b model card.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Sheared-llama-1.3b model card

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.626928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:272b2c309f4901f16020ddf575d6877dd388e1cdc4039cb5c7dfff66b03e377a

Observation c64cf5bf-140c-4ff7-b3b2-ce812d3e13da · outbound

This paper cites Llama-2-13b-hf model card.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Llama-2-13b-hf model card

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.673294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:8a9d4496867b3f16815c60ea93785639782b200c9a2a336b7ee7857d93212958

Observation 40b4afc0-e3c1-40f3-a524-99b7f03a6d82 · outbound

This paper cites Qwen2.5-coder-0.5b-instruct model card.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Qwen2.5-coder-0.5b-instruct model card

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.715014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:e19779175f2b320d219df64174a36e6ea607a69ee2a82daef26a590ce5854ab7

Observation 4f03f090-3979-4642-9f82-6f6061679df2 · outbound

This paper cites Qwen2.5-coder-1.5b-instruct model card.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Qwen2.5-coder-1.5b-instruct model card

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.667743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:5831af8e7b84f80430b885a4b905a94377c6b80b93e7f2bf4bf130c04240fb3d

Observation 3b6482f8-cd23-45d9-8e61-daea41dfa77d · outbound

This paper cites Qwen2.5-coder-3b-instruct model card.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Qwen2.5-coder-3b-instruct model card

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.636836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:a7576af775746a613c33db970fd5f34398bd545a8169e895556db792d6b8f9af

Observation bc3e7be7-c94b-476a-9785-eeaf4474506b · outbound

This paper cites Qwen2.5-coder-14b-instruct model card.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Qwen2.5-coder-14b-instruct model card

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.648706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:643d53d10dbb34f9fbc9f2c83decd8a5190852baf9ee428c077eac373ace373c

Observation 11a7f27f-5ea3-47a6-937b-def61ce7bc45 · outbound

This paper cites Language Models are Few-Shot Learners.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Language Models are Few-Shot Learners

Reference 79

Resolution
verified exact
local_arxiv, observed 2026-05-23T18:43:19.268832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:e997e579b3f24fd059e79848ae4a7241e03c07df7518f6accfc1506ea4e027fe

Observation 238a84fd-3f6c-41a9-a8a8-8bf86639ce52 · outbound

This paper cites with Code.

Are Decoder-Only Large Language Models the Silver Bullet for Code Search? with Code

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T18:45:47.659574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T18:39:21.915976Z digest=sha256:e125482d0f18cf397fdd67a2d309a0318c127525a6f1c0a4bb9212dc3d28237a

Pith citing papers

Observation a2358ecd-1918-4c6b-adac-d51e254a240b · inbound

XSearch: Explainable Code Search via Concept-to-Code Alignment cites this paper.

XSearch: Explainable Code Search via Concept-to-Code Alignment Are Decoder-Only Large Language Models the Silver Bullet for Code Search?

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-20T16:33:34.206871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-20T16:31:27.989614Z digest=sha256:6ad60f8c67ccd12ded711153a426cf1e71d02a492b0f19451c84e9e45454b3ea

Observation 6bd6b0d3-d0bf-4674-9515-c184e97c3f59 · inbound

XSearch: Explainable Code Search via Concept-to-Code Alignment cites this paper.

XSearch: Explainable Code Search via Concept-to-Code Alignment Are Decoder-Only Large Language Models the Silver Bullet for Code Search?

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-04T00:59:18.984408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-04T00:55:50.772103Z digest=sha256:67b9ac3276bb7c654598d6559200ea3eaddf5b5ea390c0b27e1cb05e42100c01

Observation 44bca06f-094e-4f87-b626-02782a9cc27d · inbound

PhoenixRepair: Rethinking Repair Strategy Exploration in Software Agents cites this paper.

PhoenixRepair: Rethinking Repair Strategy Exploration in Software Agents Are Decoder-Only Large Language Models the Silver Bullet for Code Search?

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-01T14:11:57.323146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:11:57.323146Z digest=sha256:2a89e055cf2690ab939373b86d21c6b58f6e6ddbba74d3b2578b7929c3bd044e